DatriseAI-first ETL

Branch ThoughtSpot

AI-first ETL from Branch into ThoughtSpot. Governed entities, incremental sync, typed landing tables.

How Datrise loads Branch into ThoughtSpot

Datrise syncs Branch's records, events, and configuration objects into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

Branch: SaaS or API data source for analytics and warehouse sync.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Branch entities map to ThoughtSpot

Branch entityThoughtSpot objectNotes
recordsbranch_recordsid PK · custom fields → flattened columns for searchable fields
eventsbranch_eventsdate/time columns events
configuration objectsbranch_configuration_objectsid PK · linked to branch_records

FAQ

How does Datrise handle Branch's custom fields in ThoughtSpot?

Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.

How does the Branch to ThoughtSpot sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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